# Biometric recognition: why not massively adopted yet?

arXiv: https://arxiv.org/abs/2203.03719 · HTML: https://mlsanity.com/paper/2203.03719/

## Key facts

- Cited by 5 papers in the map (data through 14 Oct 2026).
- Builds on 0 of its 15 references that are in the map.
- First posted on arXiv 23 Feb 2022.

## Built on by (most cited first, 5 of 5)

- [Biometric identification by means of hand geometry and a neural net classifier](https://mlsanity.com/paper/2204.03925/) (2022)
- [Study of a committee of neural networks for biometric hand-geometry recognition](https://mlsanity.com/paper/2204.03935/) (2022)
- [Fast on-line signature recognition based on VQ with time modeling](https://mlsanity.com/paper/2203.12104/) (2022)
- [Biometric verification of humans by means of hand geometry](https://mlsanity.com/paper/2204.07764/) (2022)
- [Hand Geometry Based Recognition with a MLP Classifier](https://mlsanity.com/paper/2204.08469/) (2022)

## Abstract (arXiv)

Although there has been a dramatically reduction on the prices of capturing devices and an increase on computing power in the last decade, it seems that biometric systems are still far from massive adoption for civilian applications. This paper deals with the causes of this phenomenon, as well as some misconceptions regarding biometric identification.